inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given the task definition, example input & output, solve the new input case.
Classify given movie review into two categories: positive, or negative based on its content.
Example: if you sometimes like to go to the movies to have fun , wasabi is a good place to start .
Output: positive
The author in the review recommend... | positive | 1 | NIv2 | task888_reviews_classification | fs_opt | [
0.031201433390378952,
0.6688937544822693,
0.013593096286058426,
-0.05510575324296951,
0.2882665991783142,
0.038257479667663574,
0.821696400642395,
0.19450482726097107,
0.5130964517593384,
0.1128440648317337,
-0.34901905059814453,
-0.14642739295959473,
-0.353189080953598,
0.0769813880324363... |
Q: Given a text passage as input consisting of dialogues of negotiations between a seller and a buyer about the sale of an item, the task is to classify the text into one of the labels from the two possible outputs - 'accepted'/'rejected'. Select [accepted] if by the end of the conversation the buyer seems likely to bu... | rejected | 7 | NIv2 | task766_craigslist_bargains_classification | zs_opt | [
-0.38604921102523804,
-0.1609582006931305,
0.14006388187408447,
0.8269065618515015,
0.4741794168949127,
-0.11857178807258606,
0.2662026882171631,
0.7114194631576538,
-0.07069449871778488,
0.35495883226394653,
-0.5155404806137085,
0.33174753189086914,
-0.00761113315820694,
0.347830802202224... |
Q: In this task, you are given two sentences taken from a conversation, and your job is to classify whether these given sentences are sequential or not. We will mark the given sentence pair as 'True' if it's sequential, otherwise 'False'. The two sentences are spoken by two different people.
Ella: we've bought this n... | False | 7 | NIv2 | task1573_samsum_classification | zs_opt | [
-1.5442456007003784,
0.9675432443618774,
0.40868428349494934,
-0.3850896656513214,
-0.5269286632537842,
-0.8845316767692566,
0.6695842742919922,
0.4344041049480438,
0.1966126263141632,
-0.027332793921232224,
-0.5975391864776611,
0.5082283020019531,
-0.24663041532039642,
0.4435705542564392,... |
Detailed Instructions: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Prob... | -4709 | 8 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.17408296465873718,
0.8608990907669067,
-0.4150142967700958,
0.049504876136779785,
-0.5080037117004395,
0.18020421266555786,
0.7748806476593018,
0.7974585890769958,
0.389614462852478,
-0.5925790667533875,
-1.205443024635315,
-0.7524805665016174,
-0.5044059753417969,
0.7196637988090515,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a man flying a kite up in the air'. How many words end with the letter 'e' in the sentence.
Output... | 2 | 1 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.18771052360534668,
0.6820900440216064,
-0.01755102351307869,
-0.8303684592247009,
0.3738507628440857,
-0.22210651636123657,
0.14618347585201263,
0.6937146186828613,
-0.45879173278808594,
-0.22622378170490265,
-0.7026787400245667,
-0.28596100211143494,
-0.5581300258636475,
0.051321394741... |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: trick or treat . trick or treat .
Student: | قاشق زنى وکاسه زنى دم درب خانه هاى مردم . | 6 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.4215244650840759,
0.6753003597259521,
0.3667369782924652,
-0.34200936555862427,
-0.4810640215873718,
-0.25373679399490356,
0.3086102604866028,
0.48661157488822937,
0.33803069591522217,
-0.04891875013709068,
0.10487537086009979,
0.1189747303724289,
-0.3808806240558624,
-0.133383885025978... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
यद्यपि इन प्रणालियों में शुरू के दिनों में तेजी से वजन में कमी आती है पर... | Remember it is comparatively rare , so do not let the fear of Cot Death spoil the first months with your baby .
| 0 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.19941316545009613,
0.34629470109939575,
-0.3023776113986969,
-0.023695146664977074,
-0.3508152365684509,
-0.4737641215324402,
0.7810649275779724,
0.9110769033432007,
-0.38940244913101196,
-0.4531301259994507,
-1.0777835845947266,
0.2954258322715759,
-1.1222248077392578,
0.09800474345684... |
Definition: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dial... | There have been many times when I've gone to a farmer's market and I can't hold all the peppers and think I'd like to pin them together. | 2 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.3959144949913025,
0.7417929172515869,
0.7179731130599976,
-0.046882886439561844,
0.327096164226532,
-1.072188138961792,
0.249017134308815,
0.753449559211731,
-0.21183422207832336,
-0.3158318102359772,
-0.5618586540222168,
0.0645609125494957,
-0.9365602731704712,
0.6076422929763794,
0.8... |
Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Tweet: they shot another monkey lmaooooooooooo
Label: Neither
Output: | false | 3 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.3798850774765015,
0.5753976106643677,
0.8339011073112488,
0.5523622035980225,
-0.646358072757721,
-1.0583112239837646,
-0.2709353566169739,
0.572375476360321,
0.5078369379043579,
0.0550108328461647,
0.14544038474559784,
-0.7681828141212463,
-0.7306137084960938,
-0.7437605857849121,
0.... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | He was obsessed with many actresses. | 6 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.419481098651886,
-0.01428641565144062,
0.2482510507106781,
0.42480289936065674,
0.516108512878418,
-0.7762914896011353,
-0.888102650642395,
0.4236519932746887,
0.2341739684343338,
-0.1697668433189392,
0.12950566411018372,
-0.6940730810165405,
-0.10690995305776596,
-0.17296813428401947,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
そして悲しい気持ちでそこを去るのです
Output: | Y salgo sintiéndome infeliz. | 1 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.29525697231292725,
0.20132514834403992,
0.18746477365493774,
-0.43483683466911316,
0.019835684448480606,
-0.24970129132270813,
-0.06166888028383255,
0.6858314275741577,
0.5243074893951416,
-0.3468884229660034,
-0.312505304813385,
0.3271188735961914,
0.1106608510017395,
0.504263758659362... |
Given the task definition and input, reply with output. In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Remy ate their dinner very quickly so as to not waste any time during the day.
| How would you describe Remy? | 5 | NIv2 | task596_mocha_question_generation | zs_opt | [
-0.6595966815948486,
1.4951990842819214,
0.5802276134490967,
-0.05940224975347519,
-0.8075870871543884,
0.5229800343513489,
0.5342435836791992,
0.4018385112285614,
0.43411117792129517,
-0.1202656477689743,
-0.48459985852241516,
-0.13151273131370544,
-0.6269774436950684,
0.687157392501831,
... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Let me give you an example: Question: Are group 2 innate lymphoid cells ( ... | no | 8 | NIv2 | task846_pubmedqa_classification | fs_opt | [
-0.3819734752178192,
0.1589471995830536,
-0.3736371695995331,
0.696811318397522,
0.24698300659656525,
-0.7826027870178223,
0.12196303904056549,
1.1212126016616821,
-0.3974599242210388,
0.44075292348861694,
-0.4487302899360657,
0.01562135387212038,
-0.5087695121765137,
0.21325358748435974,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 6 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.22293366491794586,
0.16128936409950256,
0.42706120014190674,
-0.11410914361476898,
-0.2808740735054016,
-0.25800687074661255,
0.952076256275177,
0.6264716386795044,
-0.6745865345001221,
-0.23675839602947235,
-0.4120958745479584,
-0.571497917175293,
-0.7198737859725952,
-0.196946099400520... |
TASK DEFINITION: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
PR... | Fact1: Van Goh painted many valuable pieces of artwork in his lifetime. Fact2: Prints of Van Goh's artwork are readily available at a low price.
| 8 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.13127583265304565,
-0.43695008754730225,
-0.5455944538116455,
0.1783251017332077,
-0.14559142291545868,
-0.11749088764190674,
0.7926325798034668,
1.1919434070587158,
0.5344061255455017,
0.5041083097457886,
-0.24462106823921204,
0.9898802042007446,
-0.5563186407089233,
0.12274081259965897... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Input: 採掘の停止は良いことですが石油の分子に注目する必要があります
Output: | As moratorias están ben, pero precisamos focalizar nas moléculas do petróleo. | 2 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.037044707685709,
0.23915642499923706,
-0.5385146141052246,
-0.9383730292320251,
-0.7705351710319519,
-1.0988309383392334,
0.3729804754257202,
0.34105047583580017,
-0.1129661500453949,
-0.04409078136086464,
-0.6141409277915955,
-0.5524874329566956,
0.10023000836372375,
-0.287453711032867... |
Part 1. Definition
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in th... | True | 7 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.5772658586502075,
0.7268449068069458,
-0.6392392516136169,
0.3588610291481018,
0.20340102910995483,
-0.8628264665603638,
1.183135747909546,
0.6371996402740479,
-0.2610650658607483,
-0.45855796337127686,
-0.5025442838668823,
0.4355223774909973,
-0.5967922210693359,
0.11514806747436523,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, wi... | A vendor displays his sunglasses. | 1 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
0.11709323525428772,
0.3471757769584656,
0.4127178192138672,
0.1588614284992218,
0.5632281303405762,
0.030155111104249954,
-0.5749722719192505,
0.8541465997695923,
0.14765392243862152,
-0.0605420283973217,
-0.8118153214454651,
-0.3328438997268677,
-0.2175389677286148,
-0.32357633113861084,... |
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
anthony mcgill is the principal clarinetist for the metropolitan opera. | anthony mcgill is the main clarinetist for metropolitan opera. | 0 | NIv2 | task934_turk_simplification | zs_opt | [
-0.844636082649231,
1.4051666259765625,
-0.012666209600865841,
-0.974704384803772,
0.33425986766815186,
-0.2808627784252167,
-0.2186877429485321,
-0.13193628191947937,
0.2891561985015869,
-0.05655504763126373,
0.4233782887458801,
-0.4169989824295044,
-0.9598337411880493,
0.1171275153756141... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. ... | ching chong | 0 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.7775579690933228,
0.8047865629196167,
0.3664432168006897,
-0.07222841680049896,
-0.5303182005882263,
-1.301802635192871,
0.40741968154907227,
0.32077038288116455,
0.43984678387641907,
0.052176423370838165,
-0.4378759562969208,
-0.17801348865032196,
-0.15295401215553284,
-0.6815806627273... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
[Q]: She stirs the ingredients with some tongs.
[A]: She grabs oil and salt and pours it into a mixing bowl.
[Q]: the girl begins doing a gymnastic routine on a balance beam.
[A]:... | The female removes the clamp.
| 5 | NIv2 | task455_swag_context_generation | fs_opt | [
0.9280984401702881,
1.0882984399795532,
-1.121267318725586,
-0.2562304139137268,
-0.22095057368278503,
-0.5582103729248047,
-0.046221569180488586,
0.8046822547912598,
-0.0430719330906868,
-0.08539272844791412,
0.5866609811782837,
0.21869538724422455,
-0.3380003869533539,
-0.001994341611862... |
TASK DEFINITION: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
PROBLEM: اگه شکست هم بخورید اصلا مهم نیست.
SOLUTION: לא משנה אם נכשלת.
PROBLEM: یکی بزرگتر برای شما که ببینید.
SOLUTION: והנה מפה מוגדלת עבורכם.
PROBLEM: و این نمایش دنیا هستش که خیلی آنرا به نام جهانی ساز... | וזו הדרמה של העולם הזה, שהרבה קוראים לו גלובלי העובדה שאסיה, הארצות הערביות ואמריקה הלטינית הרבה יותר מתקדמות ברמת הבריאות, החינוך ובנכסים של משאבי אנוש מאשר הן ברמה הכלכלית
| 8 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
0.014840958639979362,
0.6603960394859314,
-0.002134895185008645,
0.12879927456378937,
-0.3965704143047333,
0.49739542603492737,
0.7655130624771118,
0.1987927258014679,
0.09820447862148285,
-0.20597416162490845,
-0.8686755299568176,
0.2642708420753479,
-0.3188962936401367,
0.416952937841415... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | He was always digging holes and getting into trouble. | 9 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.4869215488433838,
0.647600531578064,
-0.24663954973220825,
0.512808084487915,
0.25986385345458984,
-1.348039984703064,
-0.16516362130641937,
0.7600678205490112,
-0.0872388705611229,
-0.229226753115654,
-0.5171663761138916,
-0.012728346511721611,
-0.3655502200126648,
-0.022537613287568092... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
One example is below.
Q: Ok, ... | user | 9 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.28262460231781006,
0.772415816783905,
-0.19620859622955322,
-0.7463953495025635,
-0.4386948049068451,
0.08436296880245209,
1.495558738708496,
-0.6969343423843384,
0.9714130759239197,
-0.3487553596496582,
-0.16857850551605225,
-0.14017871022224426,
-0.08952106535434723,
0.469133853912353... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: After a slew of crises during Santana Lopes's tenure, including poor credi... | Yes | 0 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.7045810222625732,
-0.02686893194913864,
0.6553406119346619,
0.09482987225055695,
0.1377446949481964,
-0.7996362447738647,
0.4722972810268402,
0.35369616746902466,
-0.7018288373947144,
-0.30077263712882996,
0.21089228987693787,
0.42181745171546936,
-0.44226792454719543,
0.509572029113769... |
Detailed Instructions: In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
See one example below:
Problem: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution: a, 931, 13245
Explanation: Here, every 3rd ele... | 9013, v, 6341, 7247, 7987, 6661, d, B, j, 6905, 6249 | 4 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.09434099495410919,
-0.2047748565673828,
-0.6838942766189575,
-0.7020808458328247,
-0.36742693185806274,
-0.1661452054977417,
0.3851589858531952,
-0.18430987000465393,
-0.1932293176651001,
-0.3809964656829834,
-0.897612452507019,
-0.44654446840286255,
-0.3151569366455078,
0.11555683612823... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Example input: Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1 play a crucial role in early thymocyte... | trypsin inhibitor | 3 | NIv2 | task1481_gene_extraction_bc2gm_dataset | fs_opt | [
-0.45011764764785767,
0.340231716632843,
-0.5330935716629028,
-0.23577144742012024,
0.7525320649147034,
-0.7581527829170227,
-0.05059303343296051,
0.817696213722229,
0.211181640625,
0.021302198991179466,
-0.41778624057769775,
0.2088020294904709,
-0.8866759538650513,
-0.1743958294391632,
... |
Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on ... | non-geopolitical | 7 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | zs_opt | [
-1.182682752609253,
0.2056225836277008,
0.8464479446411133,
0.1058821827173233,
-0.6085626482963562,
-0.6709094047546387,
0.22403666377067566,
-0.021668003872036934,
0.02253192849457264,
-0.22745409607887268,
-0.5922738313674927,
-0.041625309735536575,
-0.48552268743515015,
-0.218394666910... |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Persian.
They hadn't won a national championship since 1975.
| از ۱۹۷۵ برنده هیچ عنوان قهرمانی ملی نشده بود. | 5 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-1.0018491744995117,
1.11784029006958,
0.26478850841522217,
-0.3222319781780243,
-0.2505834400653839,
0.589011549949646,
1.032637119293213,
0.4322878420352936,
0.23151397705078125,
-0.02736702561378479,
-0.8761329650878906,
0.4893486201763153,
-0.3507958650588989,
-0.21615369617938995,
0... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Which company is better to start with for a fresher: TCS, Infosys, Wipro or Cognizant? | Capgemini, Accenture, Cognizant, TCS, Infosys, Wipro: Which company is the best company to join? | 0 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.5754154920578003,
0.6688127517700195,
0.1294676810503006,
0.39557358622550964,
0.38996994495391846,
0.6819074749946594,
-0.1319398283958435,
0.10254789888858795,
0.634981632232666,
0.8305167555809021,
0.24331507086753845,
-0.3942553400993347,
0.5457924008369446,
-0.2582920789718628,
-... |
Detailed Instructions: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Problem:Article:... | Yes | 8 | NIv2 | task310_race_classification | zs_opt | [
0.7702898383140564,
0.3598048686981201,
-0.03410162031650543,
-0.027272840961813927,
0.03217059001326561,
0.2847287654876709,
0.7272522449493408,
1.0987472534179688,
-0.10294240713119507,
-0.1324012130498886,
0.14532017707824707,
0.5448434352874756,
-0.44676026701927185,
-0.563113391399383... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Q: אני, כמעט ולא, אבל מה שאמי אמרה לי היה, יום אחד היא הושיטה לי עיתון, כותרת שאמרה, כאן יש לנו שינוי עצום.
A: | Yo rara vez lo hice. Pero lo que mi mamá me dijo fue, un día, al darme un periódico, con un titular que decía: aquí tenemos un gran cambio. | 4 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.3730757236480713,
0.8100202083587646,
0.24110858142375946,
-0.2403234839439392,
-0.6342098712921143,
-0.9257069826126099,
0.05092179775238037,
1.6131575107574463,
0.4603722095489502,
-0.32605278491973877,
-0.20615394413471222,
-0.14147326350212097,
-0.808061957359314,
-0.051548659801483... |
Part 1. Definition
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Part 2. Example
Review: Arrived ... | False | 7 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.29985255002975464,
-0.03494330495595932,
-0.5185230374336243,
0.676816463470459,
0.5135427713394165,
-0.009990701451897621,
0.3948466181755066,
0.8511766791343689,
-0.01958545111119747,
0.237619087100029,
-0.050457511097192764,
0.09138386696577072,
-0.3710310757160187,
0.464329123497009... |
Instructions: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so t... | [11, -1, 0, -14, 5, 5] | 3 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.4514709711074829,
0.20587722957134247,
-0.8206745386123657,
-0.2729259133338928,
0.21129831671714783,
-0.17709246277809143,
1.1500492095947266,
0.37453609704971313,
0.09383539855480194,
-0.033701810985803604,
-0.6122204065322876,
-0.4366801381111145,
-0.15334390103816986,
0.0653476342558... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Example: Q... | Solution: Yes | 5 | NIv2 | task227_clariq_classification | fs_opt | [
-0.4979211390018463,
0.16024956107139587,
-0.3101044297218323,
0.08082817494869232,
-0.5732460618019104,
-0.7086575031280518,
0.9923665523529053,
0.12201158702373505,
0.46039968729019165,
-0.34159061312675476,
0.5210550427436829,
-0.2614709138870239,
-0.7256002426147461,
0.1956523358821869... |
instruction:
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
question:
Question: In what country is the team loc... | 3
| 9 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.7552391290664673,
0.1863076537847519,
-0.7074497938156128,
-0.2079225331544876,
0.057347360998392105,
-0.01525300182402134,
0.9473606944084167,
0.8984643816947937,
-0.15194155275821686,
0.43540120124816895,
-0.18979448080062866,
0.4038105010986328,
-0.4293277859687805,
0.0521858185529708... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Topic: The vow of celibacy should be abandoned<sep>Argument: Vow of celibacy i... | False
| 0 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.15946723520755768,
0.4023992717266083,
-0.42437970638275146,
0.2227681279182434,
-0.4685710370540619,
-0.8122313022613525,
0.4305177330970764,
0.725673496723175,
0.08181406557559967,
0.024920687079429626,
0.4481777846813202,
0.2152923345565796,
0.013007494620978832,
-0.49636709690093994,... |
Part 1. Definition
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Part 2. Example
... | 1988 Summer Olympics | 7 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.07888154685497284,
0.277560293674469,
-0.9984729290008545,
-0.25067126750946045,
-0.2102467119693756,
-0.22331902384757996,
0.98161780834198,
0.14706939458847046,
0.21629245579242706,
0.02461208403110504,
-0.47809362411499023,
0.14973248541355133,
-0.6270362734794617,
-0.145590424537658... |
instruction:
In this task, you need to count the number of times the given letter appears in the given sentence.
question:
Sentence: 'a woman in yellow dress standing next to a horse'. Find frequency of the letter 'l'
answer:
2
question:
Sentence: 'a white toilet sitting next to a bathroom sink'. Find frequency of th... | 4
| 9 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.865007758140564,
0.8990868330001831,
-1.091586947441101,
-0.08196733146905899,
-0.2713963985443115,
-0.04529518634080887,
-0.07505083084106445,
0.4345655143260956,
-0.018172528594732285,
-0.24689199030399323,
0.03355978801846504,
0.4090908169746399,
0.07823778688907623,
0.45611971616744... |
Instructions: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Input: Article: Glynis Davis: I first piled on the pounds when I was in the family way and I couldn't lose them afterwards. Then I joined a slimming club. My target was 140... | What do you think the four women were talking about? | 3 | NIv2 | task311_race_question_generation | zs_opt | [
-0.389854371547699,
0.9249075055122375,
-0.5583771467208862,
-0.5847691893577576,
0.550330638885498,
-0.32481756806373596,
0.4859820306301117,
0.3397238850593567,
-0.0008199862204492092,
-0.3555903732776642,
-0.6507455110549927,
0.8843686580657959,
-1.8243340253829956,
0.16306132078170776,... |
Q: In this task you are given a premise and two alternatives in Estonian you must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Po... | 1 | 7 | NIv2 | task968_xcopa_commonsense_reasoning_et | zs_opt | [
-0.19765479862689972,
0.9302653074264526,
0.044657349586486816,
0.024030359461903572,
-0.05822449177503586,
-0.21343165636062622,
0.9161269664764404,
0.6275855302810669,
0.5487788915634155,
0.5948233008384705,
-0.3670399785041809,
0.6695373058319092,
-0.2528461813926697,
0.2830806970596313... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
هم حسی (synesthesia) فرایندی عصبشناختی اس... | هشت | 0 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.6359387040138245,
0.21961206197738647,
-0.2989221215248108,
0.03754127025604248,
0.3663021922111511,
-0.2480626404285431,
0.9027960300445557,
0.7160552740097046,
0.001044795149937272,
0.1707594394683838,
-0.5869989395141602,
0.640088677406311,
0.1382657289505005,
0.1866290271282196,
-0... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX could talk to people better than PersonY because _ was considered an open person.
Sentence 2: PersonX could talk to people better than PersonY because _ was considered a shy person.
****
| 4 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.20362302660942078,
0.21527966856956482,
-0.14744874835014343,
-0.0030812183395028114,
0.43409666419029236,
-0.4565173387527466,
0.7534081339836121,
0.7337820529937744,
-0.17152702808380127,
-0.4530075788497925,
-0.8133888840675354,
-0.373319149017334,
-0.5031525492668152,
0.1788210570812... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Let me give you an example: Sentence... | 0 | 8 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-0.09633535146713257,
0.2283853143453598,
-0.45402854681015015,
0.11223068833351135,
0.08834515511989594,
-0.8128321170806885,
0.2731406092643738,
1.675917387008667,
0.09295934438705444,
0.763085126876831,
-0.5232383608818054,
0.09501639753580093,
-0.6030576825141907,
-0.483153760433197,
... |
Given the task definition, example input & output, solve the new input case.
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Example: रोजगार कार्यालय जाओ.
Output: Go to the employment office.
The transla... | I'm listening. | 1 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.34139055013656616,
0.4237283170223236,
-0.09760676324367523,
0.8809462785720825,
0.41414135694503784,
-0.241665780544281,
-0.3408052921295166,
0.24540498852729797,
0.07519619911909103,
0.3185863494873047,
-0.33468562364578247,
-0.5473244190216064,
0.4989425539970398,
0.15537789463996887... |
instruction:
In this task, you need to Translate Czech text to English.
question:
Holicí strojek se dvěma čepelkami (2, 3) pro intenzivní čistění vyplachováním nečistot tlakovou vodou sestává z dutého držáku (17), na němž je nasazeno čepelkové těleso, jehož spodní část (7) je opatřena u zadní i přední strany vždy ... | Thin walled profiles with thermal interruption bridge are designed for hole fillings buildings, especially for window and door frames and wings. Hole fillings of buildings made of these profiles have a lower permeability than the hollow fillers still manufactured and their use reduces heat loss of buildings. Ea... | 9 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.3934265971183777,
-0.07701990753412247,
-0.5299022197723389,
0.6142904758453369,
0.772865891456604,
-0.7666149139404297,
1.0980689525604248,
1.059044599533081,
-0.2222350835800171,
0.45174020528793335,
-0.28935298323631287,
0.2989722490310669,
-0.3597712218761444,
0.24661441147327423,
... |
Definition: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should ... | [-626, -292] | 2 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.7093720436096191,
0.045536402612924576,
-0.46066826581954956,
0.1493546962738037,
-0.020349683240056038,
0.4771876633167267,
0.6936001181602478,
0.056447602808475494,
-0.24639692902565002,
0.16665229201316833,
-0.8076961040496826,
-0.13376307487487793,
-0.1385168880224228,
-0.1609724462... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
One... | sadness | 9 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.4414041042327881,
-0.22862769663333893,
0.2534360885620117,
0.12106629461050034,
0.19200415909290314,
-0.2521316111087799,
0.48389768600463867,
1.2211241722106934,
0.08662149310112,
0.16610068082809448,
-0.531812310218811,
0.25519639253616333,
0.2441442310810089,
0.5034559369087219,
0... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Q: If the ship is in no immediate danger, a more accurate method is as follows.
A: | Ukuba inqanawa ayikho ngozini ekhawulezileyo, indlela elungileyo neyenene iyalandela. | 4 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
-0.0484929159283638,
0.5704205632209778,
0.00003960059257224202,
-0.23665985465049744,
-0.15706989169120789,
-0.9432746767997742,
0.8545089364051819,
0.7095657587051392,
0.2674539089202881,
0.34510982036590576,
0.1810133010149002,
-0.28276509046554565,
-0.4431188702583313,
-0.0669684931635... |
An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Answer: cafu | who was the captain for brazil in world cup 2006? | 0 | NIv2 | task443_com_qa_ans_question_generation | zs_opt | [
-0.04557470977306366,
0.6855289936065674,
0.40563422441482544,
-0.6754911541938782,
0.13599123060703278,
-0.3892068862915039,
0.5736532807350159,
0.2925097942352295,
0.44064539670944214,
0.03911041468381882,
0.47659820318222046,
-0.7867162227630615,
-0.839653491973877,
0.26516300439834595,... |
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort t... | [{'first': -32, 'second': 54}, {'first': 9, 'second': -47}, {'first': 52, 'second': 7}, {'first': 52, 'second': 83}, {'first': 69, 'second': 48}, {'first': 92, 'second': -31}, {'first': 93, 'second': -31}] | 6 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
-0.044406596571207047,
0.09080758690834045,
-0.19628167152404785,
-0.013148420490324497,
0.7877411246299744,
-0.1974942982196808,
0.4545045495033264,
1.142545461654663,
0.023972192779183388,
-0.33872997760772705,
-0.5097534656524658,
-0.5817713737487793,
-0.610809862613678,
-0.200237676501... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [-202, 202, -919, 292]
| 5 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.8489962220191956,
-0.15993312001228333,
-0.6316704750061035,
-0.49281030893325806,
-0.48535433411598206,
0.07620396465063095,
0.6193900108337402,
0.29411327838897705,
-1.0281931161880493,
-0.28493809700012207,
-0.7501248121261597,
0.02111799269914627,
-0.3624568283557892,
-0.39200416207... |
Q: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, othe... | No | 7 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-1.0234113931655884,
0.5306771993637085,
0.10988800972700119,
-0.042784057557582855,
0.08964380621910095,
-0.4132536053657532,
0.29320454597473145,
1.0493777990341187,
0.010287548415362835,
0.2795811891555786,
-0.30366021394729614,
0.25373464822769165,
-0.7165918350219727,
-0.0924449115991... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Q: 1, 2, ['1635', '9099']
A: 1635, ... | Q, q, L, X, 2959, G, r, 5893
****
| 4 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
-0.3934875726699829,
0.30379557609558105,
-0.36946648359298706,
-0.26610276103019714,
-0.23222266137599945,
-0.1784847378730774,
0.4521658420562744,
0.13749031722545624,
-0.6218852400779724,
0.27537739276885986,
-0.7472680807113647,
-0.01902068220078945,
0.09778892993927002,
-0.39883443713... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
[EX Q]: Statement: what kind of drugs did you use if you don't mind... | 2
| 6 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.16298449039459229,
-0.1476980596780777,
-0.5008424520492554,
-0.20878750085830688,
-0.18646621704101562,
-0.662712574005127,
0.1232481524348259,
0.8864094018936157,
-0.7015964984893799,
-0.06323876976966858,
-0.17107850313186646,
-0.166853666305542,
0.20113465189933777,
-0.95056653022766... |
Teacher: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belong... | True | 2 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.024873705580830574,
-0.06216162443161011,
0.20694765448570251,
0.08919215202331543,
0.05600419640541077,
-0.75337815284729,
0.5399415493011475,
0.9769920706748962,
-0.2371702641248703,
0.35993385314941406,
-0.15834450721740723,
0.6845238208770752,
-0.5157778263092041,
-0.407357543706893... |
Given the task definition and input, reply with output. Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Other... | False | 5 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.6650401949882507,
-0.031013522297143936,
0.41979801654815674,
0.16968801617622375,
0.629774272441864,
-0.07655854523181915,
0.5003353357315063,
0.13914474844932556,
0.44921815395355225,
0.331321656703949,
-0.4620795249938965,
-0.357839435338974,
-0.33912938833236694,
-0.6072556972503662... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Let me give you an example: ... | Man | 8 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
-0.26117581129074097,
0.07115310430526733,
-0.671343207359314,
-0.2506178617477417,
-0.34125006198883057,
-0.5512278079986572,
0.7107099294662476,
0.3460056185722351,
-0.35043349862098694,
0.19054129719734192,
-0.5071026086807251,
-0.10379253327846527,
-0.5289959907531738,
-0.0055460794828... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Let me... | B | 8 | NIv2 | task297_storycloze_incorrect_end_classification | fs_opt | [
0.18450699746608734,
1.1000131368637085,
-0.1352015733718872,
-0.4189797043800354,
0.09275998175144196,
-0.4561672806739807,
0.831865668296814,
0.5434474945068359,
0.4398631453514099,
-0.0343196801841259,
-0.4939614236354828,
-0.1615942418575287,
-0.3079391121864319,
-0.139565572142601,
... |
Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Input: Sentence-1: I have a severe peanut allergy.<sep>Sentence-2: I have tried that new Thai restaurant on the high street .
Output: | Yes | 3 | NIv2 | task566_circa_classification | zs_opt | [
-0.6775460243225098,
0.02032109722495079,
0.16493646800518036,
0.11294568330049515,
-0.10569190979003906,
-0.47012001276016235,
0.2604432702064514,
1.0535728931427002,
-0.2583680748939514,
0.11890558898448944,
-0.20243346691131592,
-0.2538106143474579,
-0.7223371863365173,
-0.1767353862524... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Q: He renewed old acquaintances and made new ones , among them the two remarkable ladies , Helen Keller and Jane Addams .
A: | वहां उनके पूर्व परिचित तो मिले ही लेकिन कुछ के साथ नई मित्रता कायम भी हुई - उनमें से उल्लेखनीय दो महिलाओं के नाम हैं - हेलन केलर और जेन ऐडम्स । | 9 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
0.06516844034194946,
0.9394868612289429,
-0.2847777307033539,
-0.0906955897808075,
0.1096409261226654,
-0.6805127859115601,
0.4230462610721588,
-0.3998492360115051,
-0.07628442347049713,
-0.4402236342430115,
-0.4031483829021454,
0.13654853403568268,
-0.4401796758174896,
0.190988689661026,
... |
TASK DEFINITION: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inn... | [-375, 39, -17, -651, 0, 6149, -143]
| 8 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.18517111241817474,
-0.11836569011211395,
-0.8537684679031372,
-0.2912849187850952,
0.09934991598129272,
-0.054009851068258286,
1.3867082595825195,
0.6281740665435791,
-0.4931084215641022,
-0.23736152052879333,
-0.9449647665023804,
0.11186248809099197,
-0.5880763530731201,
-0.090121030807... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words o... | After the party
| 5 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
1.1102783679962158,
0.49938416481018066,
-1.1258270740509033,
0.3115593194961548,
-0.15304458141326904,
-0.605495810508728,
0.839525580406189,
0.905197024345398,
-0.3251044750213623,
-0.17755186557769775,
-0.2697381377220154,
0.7227186560630798,
-0.43806517124176025,
-0.06938852369785309,
... |
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
One example: im feeling quite sad and sorry for myself but ill snap out of it soon
Solution is here: sadness
Explanation: The emotion of the post is sadness as ... | joy | 6 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-1.1077144145965576,
0.2701016366481781,
0.3834937810897827,
0.325151264667511,
0.038981612771749496,
-0.821407675743103,
0.4140019416809082,
0.6455790996551514,
0.058603670448064804,
0.27812620997428894,
0.2553805410861969,
-0.08138713240623474,
-0.49221763014793396,
0.4346381723880768,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | Yes | 1 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.09977053105831146,
0.13805228471755981,
0.23514671623706818,
-0.5288876295089722,
-0.23988844454288483,
-0.6038288474082947,
1.3017501831054688,
0.6351940631866455,
-0.6584101915359497,
-0.45723772048950195,
-0.4808881878852844,
-0.619778573513031,
-0.23442316055297852,
0.265704512596130... |
Teacher:In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Teacher: Now, understand the problem?... | Answer: Ray Davis | 6 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.34694528579711914,
0.33423957228660583,
-0.13268616795539856,
0.5068321228027344,
0.3470810055732727,
-0.8628376126289368,
1.1294832229614258,
-0.4181668758392334,
-0.418986052274704,
0.697685182094574,
0.4759959578514099,
0.307655930519104,
-1.1103763580322266,
-0.2020363211631775,
-... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person... | Yes | 5 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.27648741006851196,
-0.07692404091358185,
0.47647929191589355,
0.27475476264953613,
-0.28671199083328247,
-0.5181827545166016,
0.7722680568695068,
0.4489321708679199,
-0.5821847319602966,
0.07339603453874588,
-0.6328165531158447,
-0.5518397688865662,
-0.18064022064208984,
0.09121745824813... |
You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example input: Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) - 1783 - ൽ പീറ്റർ ബൊഡേർട്ട് ആണ് ആദ്യമായി... | ഫ്രാൻസിൽ | 3 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.26020172238349915,
0.05335234850645065,
-0.1896880567073822,
-0.335597425699234,
0.19207680225372314,
-1.0598235130310059,
-0.21460014581680298,
0.6127184629440308,
-0.4923182427883148,
0.4103739857673645,
0.04454180598258972,
0.23716308176517487,
0.13801921904087067,
-0.3867731392383575... |
Teacher: You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: सिग्... | माउंटबैटन | 2 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.14008402824401855,
0.6298016905784607,
-0.283680260181427,
-0.5452296733856201,
0.28122031688690186,
-0.6290591955184937,
-0.5237107276916504,
0.6380151510238647,
0.013338054530322552,
-0.5536177158355713,
0.4986644387245178,
0.4664759039878845,
-0.6359736919403076,
-0.3551800549030304,
... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Example Input: Statement: Somehow Drew got an arm under Anse's shou... | 2
| 3 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
-0.21895070374011993,
0.5876503586769104,
0.1281650960445404,
-0.23855185508728027,
-0.06615087389945984,
-0.3114880621433258,
0.9968807697296143,
0.5300406217575073,
0.18723079562187195,
0.2727665901184082,
-0.3526644706726074,
-0.07760778069496155,
-0.6449317336082458,
-0.522938847541809... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | a
| 6 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
-0.04141923785209656,
0.20800019800662994,
0.22233788669109344,
0.06960640847682953,
0.010568422265350819,
-0.02477874606847763,
0.5339099764823914,
0.9161452651023865,
-0.20348817110061646,
0.6357545256614685,
-0.3823852241039276,
-0.1798863708972931,
-0.1519620418548584,
-0.3028166592121... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns t... | A young boy takes a rest after a long swim. | 7 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.6246305704116821,
0.8149381875991821,
-0.018470535054802895,
-1.2177332639694214,
-0.27779480814933777,
-0.9350770711898804,
-0.1820746660232544,
0.6961208581924438,
0.18473249673843384,
-0.44578081369400024,
-0.5568011999130249,
-0.14349055290222168,
-0.34203284978866577,
0.20977278053... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Neutral
| 6 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
-0.3302043676376343,
0.2700745463371277,
-0.2524162530899048,
0.4890112578868866,
0.3665727376937866,
-0.5935181975364685,
0.9366994500160217,
0.7966288328170776,
-0.563684344291687,
0.29080069065093994,
0.25261425971984863,
0.6250110864639282,
-0.18377713859081268,
0.16666850447654724,
... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
"เหล่าผู้ช่วยจัดห้องสัมมนา เรียกผู้ลงทะเบียน เก็บค่าธรรมเนียม เก็บสถิติข้อมูลของห้องเรียน/ผู้เข้าร่วมในชั้นเรียน จัดเก็บเข้าแฟ้มเอกสาร และพวกเขายังรั... | 列車の運転士は業務上過失の疑いで逮捕された。
| 0 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.37114590406417847,
-0.6365500688552856,
-0.562465250492096,
-0.7110795974731445,
-0.06921648234128952,
-0.5212997794151306,
0.45072972774505615,
0.1322651207447052,
-0.1388845592737198,
-0.028307568281888962,
-0.28072044253349304,
0.26257771253585815,
-0.6272887587547302,
0.761973917484... |
instruction:
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No
| 9 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.8513398170471191,
-0.5258315205574036,
0.10755419731140137,
-0.18350867927074432,
-0.023465115576982498,
-1.1455495357513428,
1.4123375415802002,
0.9309747219085693,
-0.8070773482322693,
-0.08377143740653992,
-0.6276836395263672,
0.17216366529464722,
-0.6846833825111389,
0.56610149145126... |
Definition: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Input: Personality: I often spend my free time engaging in activism work with fri... | I read a lot and do activist stuff. | 2 | NIv2 | task1730_personachat_choose_next | zs_opt | [
0.033954352140426636,
-0.25403374433517456,
-0.26037633419036865,
-0.046664826571941376,
0.07981546223163605,
-0.3281176686286926,
0.854409396648407,
0.4917992949485779,
0.09838651120662689,
0.010772991925477982,
-0.29014042019844055,
-0.3343192934989929,
-0.1893242597579956,
-0.4935441911... |
Q: In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
We rehearse to thee some of the story of Moses and Pharaoh in Truth, for people who believe.
A: | بخشی از سرگذشت [مهم] موسی و فرعون را برای [عبرت گرفتن] مردمی که ایمان میآورند به حق و راستی بر تو میخوانیم. | 7 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.7066537141799927,
1.0453741550445557,
-0.4280632734298706,
-1.0467561483383179,
-0.6405545473098755,
-0.5683556199073792,
1.0843173265457153,
0.5910868644714355,
0.1952785849571228,
0.22299082577228546,
-0.5450423359870911,
0.10656289756298065,
-0.40162432193756104,
0.5206443071365356,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: an electric pump can fill a tank in 5 hours . because of a leak in the tank , it took 10 hour... | a | 1 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.7997113466262817,
-0.09073269367218018,
-0.006430155131965876,
0.23439134657382965,
-0.2314976453781128,
-0.9248819351196289,
0.5853803157806396,
0.4106738567352295,
-0.4540572166442871,
0.2535763382911682,
-0.3245562016963959,
-0.26079291105270386,
0.03633503615856171,
-0.23809108138084... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | True
| 3 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
0.05844573304057121,
0.3592146635055542,
0.5004706382751465,
-0.04983144626021385,
-0.3079436421394348,
-1.400109052658081,
0.48947277665138245,
0.8307461738586426,
-0.43357789516448975,
-0.2985748052597046,
-0.7995484471321106,
-0.34434545040130615,
-0.29452770948410034,
0.193435311317443... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
--------
... | -7120
| 7 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.24660290777683258,
0.3898335099220276,
-1.200269103050232,
0.07058696448802948,
-0.6829414963722229,
-0.013135085813701153,
0.548079788684845,
0.9577693939208984,
0.14377248287200928,
0.16114547848701477,
-0.7283505201339722,
-0.4452425539493561,
0.12035347521305084,
0.10615190863609314... |
Definition: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: When does ant and decs saturday night takeaway start?
Output: | When does series 15 of ant and decs saturday night takeaway start? | 2 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.1285756528377533,
0.1261402666568756,
0.5580179691314697,
0.1343267560005188,
-0.7461267709732056,
-0.00869661197066307,
0.08326683938503265,
0.1559012085199356,
-0.29767897725105286,
-0.014984983950853348,
0.00648666312918067,
-0.46712833642959595,
-0.767884373664856,
0.280300974845886... |
instruction:
The provided file includes inquiries about restaurants, and we ask you to translate those to the Japanese language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looki... | 2の評価のレストランを探して。
| 9 | NIv2 | task174_spl_translation_en_ja | fs_opt | [
-0.289715051651001,
0.33682194352149963,
0.06459060311317444,
0.03012612648308277,
0.2845361828804016,
-0.7646032571792603,
0.9508937001228333,
0.287509024143219,
-0.3251775801181793,
-0.7891218662261963,
0.16123151779174805,
0.1035485491156578,
-0.4379846155643463,
0.7524003982543945,
0... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Oriya language. The translation must not omit or add information to the original sentence.
Problem:মন্ত্রিসভার এই সিদ্ধান্তের ফলে আফ্রিকা মহাদেশে ভারতের কূটনৈতিক দৌত্যের প্রসার ছাড়াও আফ্রিকার দেশগুলিতে বসবাসকারী ভারতীয় বং... | ନୂଆ କରି ପ୍ରତିଷ୍ଠିତ ସି-କର୍ପୋରେସନ ଏକ ଆକଳନ ଅନୁସାରେ ପ୍ରାରମ୍ଭିକ ବର୍ଷରେ ପାଖାପାଖି 10 ପ୍ରତିଶତ ଲାଭ ହାସଲ କରିବ ଏବଂ ଏହାର କାରବାର 10 ନିୟୁତ ଆମେରିକୀୟ ଡଲାର ହେବ । କାର୍ଯ୍ୟର ପରିମାଣ ଅନୁଯାୟୀ ଏହାର କାରବାର ବୃଦ୍ଧି ପାଇବାର ସମ୍ଭାବନା ରହିଛି । | 8 | NIv2 | task997_pib_translation_bengali_oriya | zs_opt | [
-0.08699794858694077,
0.24852806329727173,
-0.25495249032974243,
0.4122798442840576,
-0.41855430603027344,
-0.5276407599449158,
0.6764435768127441,
-0.0005244181957095861,
-0.1384800672531128,
-0.091216079890728,
-0.6769349575042725,
-0.29862192273139954,
-0.2648018002510071,
0.15663123130... |
You will be given a definition of a task first, then some input of the task.
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but... | stereotype | 1 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.5108804106712341,
0.2035098671913147,
0.008176887407898903,
-0.010889699682593346,
-0.038730211555957794,
0.4613878130912781,
0.3903224468231201,
0.6864317059516907,
0.4360986351966858,
0.0219596978276968,
-0.8246338367462158,
-0.054762985557317734,
-0.39693543314933777,
-0.021574784070... |
Part 1. Definition
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Part 2. Example
Amsterdam_Airport_Schiphol | runwayNam... | 1634: The Bavarian Crisis by Eric Flint, is available in print form and has 448 pages. | 7 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.7310875654220581,
0.47103890776634216,
-0.2816479206085205,
-0.6537680625915527,
-0.4690154790878296,
0.6572624444961548,
1.2150845527648926,
0.1875329464673996,
0.13672927021980286,
-0.19207239151000977,
-0.7640573978424072,
0.6442152857780457,
-0.38911041617393494,
-0.0437991470098495... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the followin... | Solution: I can't take this anymore | 5 | NIv2 | task1620_menyo20k-mt_yo_en_translation | fs_opt | [
-0.17299562692642212,
0.09319732338190079,
-0.24332353472709656,
0.5382133722305298,
0.37774842977523804,
-0.8438613414764404,
0.20093384385108948,
0.6732940673828125,
-0.17850960791110992,
-0.30486375093460083,
-0.14307552576065063,
0.5383448600769043,
-0.7302805185317993,
0.2077348977327... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
نه لزوما یک امبیگرام در قالب مرسوم.
A: | לא בדיוק אמביגרם מהסוג הרגיל. | 7 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.6644688844680786,
0.4571065902709961,
0.24959559738636017,
0.05698130279779434,
-0.4046100676059723,
0.0707758367061615,
0.6161435842514038,
-0.5482722520828247,
1.1200740337371826,
-0.37748774886131287,
-0.5300239324569702,
0.3356913626194,
0.0035321246832609177,
0.394523024559021,
0... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | Jim can't sleep >Causes> Jim feel(s) stressed | 6 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.055742233991622925,
0.6519911289215088,
-0.02365102246403694,
-0.44537729024887085,
-0.23056676983833313,
-0.974157452583313,
0.592933177947998,
0.33750230073928833,
-0.31149962544441223,
-0.09868364036083221,
-0.33086198568344116,
0.8948153257369995,
-0.44331619143486023,
-0.28170400857... |
Detailed Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Q: [-45, 68, 60, 23, 28, 56]
A: | [68, 23, 28, 56] | 9 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.35629087686538696,
-0.12712600827217102,
-0.27579572796821594,
-0.897437572479248,
0.15980929136276245,
-0.0638251006603241,
1.577592134475708,
-0.5328201055526733,
-0.48236340284347534,
-0.06836141645908356,
-0.3982424736022949,
0.0675898939371109,
-0.06963489949703217,
-0.3769255280494... |
Given the task definition and input, reply with output. In this task, you must modify the text given in the input to generate a paraphrased sentence. Your output sentence must retain the same meaning, but does not necessarily have to include all the details as the input text.
sentence_B_original: a person wipes butter... | A person is removing the butter from a tray | 5 | NIv2 | task1614_sick_text_modify | zs_opt | [
-0.5767781734466553,
1.1767525672912598,
0.128484845161438,
-0.34493473172187805,
-0.3711731433868408,
-0.3718303442001343,
0.7565903663635254,
0.6609311103820801,
-0.16123272478580475,
-0.14587144553661346,
-0.6366361379623413,
0.29504457116127014,
-0.19660797715187073,
-0.215676307678222... |
Given a math word problem, answer the following question. You might need to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the question and then only report the final numerical answer.
--------
Question: there is a snail problem in centerville . people work together t... | 5
| 7 | NIv2 | task861_asdiv_addsub_question_answering | fs_opt | [
-0.465556800365448,
0.446578711271286,
0.2378397285938263,
0.26100555062294006,
-0.1962326616048813,
-0.029333733022212982,
-0.3362877070903778,
0.4922674596309662,
-0.49914705753326416,
-0.10566244274377823,
-0.2491564154624939,
-0.5275167226791382,
-0.2863435745239258,
-0.239321917295455... |
This task is about translating a given Yoruba language sentence to English.
[Q]: --- Ọdún 2020: Abẹnugan ilé ìgbìmọ̀ asòfin ni ọrọ̀ ajé Nàíjíríà yóò búrẹ́kẹ́ síi.
[A]: --- 2020 will usher in peace, economic growth – Senate President
[Q]: Ìpàtẹ yìí ń jẹ́ káwọn tó ṣèbẹ̀wò rí àwọn fọ́tò tá a ti yà látọjọ́ gbọ́nhan, àwọ... | If we go to the river and sleep there, what will the people left at home drink?
| 5 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.24133695662021637,
0.8470296859741211,
-0.46473878622055054,
-0.3106025457382202,
-0.4704105257987976,
-0.7683178186416626,
0.1573818027973175,
0.5000233054161072,
0.08670945465564728,
-0.13425271213054657,
0.0006067913491278887,
0.32286351919174194,
-0.9757488369941711,
-0.073551423847... |
Detailed Instructions: You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about ... | Entity | 4 | NIv2 | task1289_trec_classification | fs_opt | [
-0.09149643778800964,
-0.18778292834758759,
-0.0380600169301033,
-0.25071287155151367,
-0.23105263710021973,
-1.0294820070266724,
0.42905092239379883,
-0.06204339116811752,
-0.031398557126522064,
0.0694950520992279,
-0.9601946473121643,
-0.150606170296669,
-0.46260106563568115,
0.315958112... |
Detailed Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an ev... | [31, 115, 131] | 8 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.003961001522839069,
0.4577122926712036,
0.03317829966545105,
-1.0590620040893555,
0.3141334652900696,
-0.37322482466697693,
0.5495163202285767,
0.32306867837905884,
-0.7670035362243652,
0.49714577198028564,
-0.6739950180053711,
-0.006518053822219372,
-0.32607781887054443,
-0.43074959516... |
Q: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to ma... | His dad went ahead and washed the windows . | 7 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.12243389338254929,
0.6199010014533997,
0.1649090051651001,
-0.31007120013237,
-0.03711841627955437,
-0.7208116054534912,
0.2515600919723511,
0.7037813663482666,
-0.08062037825584412,
-0.31337210536003113,
-0.18797263503074646,
0.29531657695770264,
-0.5097330808639526,
0.01680064015090465... |
Detailed Instructions: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a ... | time lapse of moving cloud on a blue sky | 8 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.49793651700019836,
0.42220014333724976,
-0.18983401358127594,
-0.3080351948738098,
-0.02124161645770073,
-0.32326948642730713,
0.17473074793815613,
0.8327211141586304,
-0.3106372356414795,
-0.09503081440925598,
-0.4852449595928192,
-0.1650763303041458,
-0.38759422302246094,
-0.092342600... |
Teacher: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'medi... | visual_art | 2 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.616071343421936,
0.18940424919128418,
-0.14606258273124695,
-0.638087272644043,
0.31912627816200256,
-0.1374586671590805,
0.6745375394821167,
0.4087880849838257,
-0.004824942909181118,
0.12956151366233826,
-0.20335334539413452,
0.28921574354171753,
-0.44639652967453003,
0.145386815071105... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | 3 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.38925617933273315,
0.644625186920166,
0.560288667678833,
-0.13659675419330597,
-0.1885816901922226,
-0.6999335289001465,
1.1279171705245972,
0.29813992977142334,
-0.0798511654138565,
-0.291406512260437,
-0.4326557517051697,
-0.4220258891582489,
-0.4104340970516205,
0.4934183657169342,
... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 8 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.41878363490104675,
0.012376610189676285,
0.3631581664085388,
-0.2002526968717575,
0.040354955941438675,
-1.0047385692596436,
0.8563137054443359,
0.6325275897979736,
-0.9834703803062439,
-0.4082866907119751,
-0.2547461986541748,
-0.48882707953453064,
-0.45604100823402405,
0.03734140098094... |
Instructions: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remai... | 1/14 | 3 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
-0.40607839822769165,
0.5659579634666443,
-0.16273103654384613,
-0.9045644402503967,
0.474481463432312,
-0.4554803669452667,
1.1356600522994995,
0.08036082983016968,
0.24549108743667603,
-0.5034658908843994,
-0.8070036172866821,
0.4504100978374481,
-0.27465423941612244,
0.067589171230793,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.